In 2011, about **** percent of the population across India identified as Hindus. This was a decrease from about ** percent in 1951. Despite of this decrease, India still has a majority of Hindu population compared to other religions in the country.

With almost all major religions being practiced throughout the country, India is known for its religious diversity. Hinduism made up for the highest share of faith followed by people in the country. According to the Indian census of 2011, Himachal Pradesh had the highest share of Hindu population in the country.

India Census: Population: by Religion: Hindu: Male data was reported at 498,306,968.000 Person in 2011. This records an increase from the previous number of 428,678,554.000 Person for 2001. India Census: Population: by Religion: Hindu: Male data is updated yearly, averaging 463,492,761.000 Person from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 498,306,968.000 Person in 2011 and a record low of 428,678,554.000 Person in 2001. India Census: Population: by Religion: Hindu: Male data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE001: Census: Population: by Religion.

The average for 2013 based on 21 countries was 17.6 percent. The highest value was in India: 80.5 percent and the lowest value was in Pakistan: 0.3 percent. The indicator is available from 1960 to 2013. Below is a chart for all countries where data are available.

A survey conducted across India in 2024 found that ** percent of Hindu population and ** percent of minorities agree that India belongs to all religions equally. The survey reflects citizens' faith in the secular and pluralistic fabric of the country.

It was estimated that by 2050, India's Muslim population would grow by ** percent compared to 2010. For followers of the Hindu faith, this change stood at ** percent. According to this projection, the south Asian country would be home not just to the world's majority of Hindus, but also Muslims by this time period. Regardless, the latter would continue to remain a minority within the country at ** percent, with ** percent or *** billion Hindus at the forefront by 2050.

India Census: Population: by Religion: Muslim: Urban data was reported at 68,740,419.000 Person in 2011. This records an increase from the previous number of 49,393,496.000 Person for 2001. India Census: Population: by Religion: Muslim: Urban data is updated yearly, averaging 59,066,957.500 Person from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 68,740,419.000 Person in 2011 and a record low of 49,393,496.000 Person in 2001. India Census: Population: by Religion: Muslim: Urban data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE001: Census: Population: by Religion.

Census: Population: by Religion: Hindu: Gujarat data was reported at 53,533,988.000 Person in 03-01-2011. This records an increase from the previous number of 45,143,074.000 Person for 03-01-2001. Census: Population: by Religion: Hindu: Gujarat data is updated decadal, averaging 49,338,531.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 53,533,988.000 Person in 03-01-2011 and a record low of 45,143,074.000 Person in 03-01-2001. Census: Population: by Religion: Hindu: Gujarat data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE002: Census: Population: by Religion: Hindu.

This statistic shows the religious affiliation of the population in India as of 2011. In 2011, 79.8 percent of the total Indian population were Hindu.

India Census Dataset

This dataset provides comprehensive census data at the district level for India. It includes detailed demographic, religious, educational, and workforce-related attributes, making it a rich resource for socio-economic analysis.

1. Columns and Descriptions

A. Basic Information

District_code: A unique numeric code for each district. State_name: Name of the state to which the district belongs. District_name: Name of the district.

B. Population Data

Population: Total population of the district. Male: Total male population in the district. Female: Total female population in the district.

C. Literacy Data

Literate: Total number of literate individuals in the district.

D. Workforce Data

Workers: Total number of workers in the district. Male_Workers: Total number of male workers in the district. Female_Workers: Total number of female workers in the district. Cultivator_Workers: Number of workers engaged as cultivators. Agricultural_Workers: Number of workers engaged in agricultural labor. Household_Workers: Number of workers engaged in household industries.

E. Religion Data

Hindus: Total number of Hindus in the district. Muslims: Total number of Muslims in the district. Christians: Total number of Christians in the district. Sikhs: Total number of Sikhs in the district. Buddhists: Total number of Buddhists in the district. Jains: Total number of Jains in the district.

F. Education Data

Secondary_Education: Number of individuals with secondary education. Higher_Education: Number of individuals with higher education qualifications. Graduate_Education: Number of individuals with graduate-level education.

G. Age Group Data

Age_Group_0_29: Population in the age group 0–29 years. Age_Group_30_49: Population in the age group 30–49 years. Age_Group_50: Population aged 50 years and above.

2. Key Highlights

Number of Districts: 640 Number of Columns: 25 Non-null Values: All columns are complete with no missing data. Detailed breakdown of population by gender, age group, literacy levels, and workforce distribution. Religious composition and education statistics are also included for each district.

3. Potential Use Cases

Data Analysis and Visualization:

Explore patterns in population distribution, literacy rates, workforce composition, and religious demographics. Machine Learning Applications:

Build predictive models to classify districts or forecast demographic trends. Social Research:

Investigate correlations between education levels, workforce participation, and religion. Policy Planning:

Help policymakers target specific demographics or regions for intervention. Educational Insights:

Analyze the impact of education levels on workforce participation or literacy.

4. Dataset Overview

Total Rows: 640 Total Columns: 25 This dataset provides a unique opportunity to understand India's socio-economic and demographic composition at a granular district level.

Taken from the Census of India, 1941. The dataset describes the population of Hindus in different provinces of Sindh by numbers, gender and caste.

With almost all major religions being practiced throughout the country, India is known for its religious diversity. According to the Indian census of 2011, Hindus made up for the highest share of population in the country.

Census: Population: by Religion: Muslim: Uttarakhand data was reported at 1,406,825.000 Person in 03-01-2011. This records an increase from the previous number of 1,012,141.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand data is updated decadal, averaging 1,209,483.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 1,406,825.000 Person in 03-01-2011 and a record low of 1,012,141.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.

A survey conducted across India in 2024 found that over 57 percent of the respondents agreed that the scope of reservations should be expanded to both Hindus and Muslims in the Scheduled caste (SC) category in government jobs. 19 percent believed that only Hindus should be given reservations in the category.

This Dataset contains country wise total population of Overseas Indians like Non-Resident Indians and Persons of Indian Origins

According to a survey conducted by India's fifth National Family Health Survey (NFHS-5) in 2021 stated that about 36 percent of Christian men consumed alcohol in India. In contrast, over six percent of Muslim men consumed alcohol.

This statistic shows the top 25 countries in the world with the largest number of Hindu population in 2010. In 2010, there were about 974 million Hindus living in India.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows distribution of Indians and Inuit using several types of symbols to represent population in 1976.

This map shows the distribution of the North American Indian population. The largest number of North American Indians live in Ontario (118 830); they make up 80% of the total Aboriginal population of that province. They are distributed in the large agglomerations of the south, but also in the north and west of the province. In British Columbia, 77% of Aboriginal people are Indians (113 315). These two provinces account for 42% of the Indian population in Canada. The three Prairie Provinces are home to another 42% of the North American Indian population.

This study aimed to investigate the genomic diversity and population structure in the Muslim community of Telangana, India, using 23 autosomal microsatellite genetic markers. We also examined genetic relatedness between Muslim and non-Muslim populations of India. A sample of 184 randomly selected unrelated healthy Muslim individuals from the Telangana state were included in this study. The genotyping of 23 autosomal STR markers included in PowerPlex® Fusion 6 C multiplex system (Promega)was done. A total of 273 alleles were observed in the studied population, and locus SE33 showed 37 observed alleles, which is the highest number of observed alleles among all the studied loci. Among all the studied loci the most polymorphic and discriminatory locus was SE33, with the values of polymorphic information content (PIC) = 9.411E–01 and power of discrimination (PD) = 9.865E–01. Observed heterozygosity ranged from 6.630E–01 (D22S1045) to 9.239E–01 (SE33). Discrimination power, exclusion power, matching probability and paternity index for all the studied loci were 1.00E + 00, 1.00E + 00, 2.01E–28, and 5.68E + 09, respectively. The studied Muslim population showed genetic relatedness with non-Muslim populations i.e. populations of central India, Jharkhand, and Uttar Pradesh, suggesting the conversion of Hindus during the Muslim invasion. Neighbor-joining (NJ) tree and principal component analysis (PCA) revealed that the studied population showed genetic affinity with communities of Jharkhand, Madhya Pradesh and Uttar Pradesh states. The genetic data of this study may be useful for forensic, medical, and anthropological studies.